Benchmark Framework for Global River Models

Abstract Global River Models (GRMs), which simulate river flow and flood processes, have rapidly developed in recent decades. However, these advancements necessitate meaningful and standardized quality assessments and comparisons against a suitable set of observational variables using appropriate metrics, a requirement currently lacking within GRM communities. This study proposes implementing a benchmark system designed to facilitate the assessment of river models and enable comparisons against established benchmarks. The benchmark system incorporates satellite remote sensing data complementing in situ data, including water surface elevation and inundation extent information, with necessary preprocessing. Consequently, this evaluation system encompasses a larger geographical area than traditional methods relying solely on in‐situ river discharge measurements for GRMs. A set of evaluation and comparison metrics has been developed, including a quantile‐based comparison metric that allows for a comprehensive analysis of multiple simulation outputs. The test application of this benchmark system to a global river model (CaMa‐Flood), utilizing diverse runoff inputs, illustrates that incorporating bias‐corrected runoff data leads to improved model performance across various observational variables and performance metrics. The current iteration of the benchmark system is suitable for global‐scale assessments and can effectively evaluate the impact of model development and facilitate intercomparisons among different models. The source codes are accessible from https://doi.org/10.5281/zenodo.10903210 .

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Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-03-01
DOI
https://doi.org/10.1029/2024ms004379
Citations
8
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
6.54

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article

Benchmark Framework for Global River Models

Prakat Modi, Dai Yamazaki, Xudong Zhou, Gang Zhao et al.
8 citations
Journal of Advances in Modeling Earth Systems
Hydrology and Watershed Management Studies
6.54
article

Benchmark Framework for Global River Models

Prakat Modi, Dai Yamazaki, Xudong Zhou, Gang Zhao, Menaka Revel
article en
8 citations

Abstract

Abstract Global River Models (GRMs), which simulate river flow and flood processes, have rapidly developed in recent decades. However, these advancements necessitate meaningful and standardized quality assessments and comparisons against a suitable set of observational variables using appropriate metrics, a requirement currently lacking within GRM communities. This study proposes implementing a benchmark system designed to facilitate the assessment of river models and enable comparisons against established benchmarks. The benchmark system incorporates satellite remote sensing data complementing in situ data, including water surface elevation and inundation extent information, with necessary preprocessing. Consequently, this evaluation system encompasses a larger geographical area than traditional methods relying solely on in‐situ river discharge measurements for GRMs. A set of evaluation and comparison metrics has been developed, including a quantile‐based comparison metric that allows for a comprehensive analysis of multiple simulation outputs. The test application of this benchmark system to a global river model (CaMa‐Flood), utilizing diverse runoff inputs, illustrates that incorporating bias‐corrected runoff data leads to improved model performance across various observational variables and performance metrics. The current iteration of the benchmark system is suitable for global‐scale assessments and can effectively evaluate the impact of model development and facilitate intercomparisons among different models. The source codes are accessible from https://doi.org/10.5281/zenodo.10903210 .

Journal of Advances in Modeling Earth SystemsVol. 17(3)
Ningbo University (CN), University of Waterloo (CA), Shibaura Institute of Technology (JP), The University of Tokyo (JP)
Google, New Energy and Industrial Technology Development Organization
Openalex Percentile: Top 4%
Hydrology and Watershed Management Studies
6.54
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